Data

Tools

Indexes

Applications

Experiments

Awesome

An open API service indexing awesome lists of open source software.

awesome-point-cloud-analysis

A list of papers and datasets about point cloud analysis (processing)
https://github.com/Yochengliu/awesome-point-cloud-analysis

Last synced: about 23 hours ago
JSON representation

  • 2017

    • [CVPR
    • [CVPR - Conditioned Filters in Convolutional Neural Networks on Graphs. [__`cls.`__] :star:
    • [CVPR
    • [CVPR - annotated 3D Reconstructions of Indoor Scenes. [[project](http://www.scan-net.org/)][[git](http://www.scan-net.org/)] [__`dat.`__ __`cls.`__ __`rel.`__ __`seg.`__ __`oth.`__] :fire: :star:
    • [CVPR
    • [CVPR
    • [CVPR
    • [CVPR - Encoder. [[git](https://github.com/gilbaz/LORAX)] [__`reg.`__]
    • [CVPR - View 3D Object Detection Network for Autonomous Driving. [[tensorflow](https://github.com/bostondiditeam/MV3D)] [__`det.`__ __`aut.`__] :fire: :star:
    • [CVPR - D Reconstructions. [[code](https://github.com/andyzeng/3dmatch-toolbox)] [__`dat.`__ __`pos.`__ __`reg.`__ __`rec.`__ __`oth.`__] :fire: :star:
    • [CVPR
    • [ICCV - Networks for the Recognition of 3D Point Cloud Models. [[pytorch](https://github.com/fxia22/kdnet.pytorch)] [__`cls.`__ __`rel.`__ __`seg.`__] :star:
    • [ICCV - DQN-RNN: A Deep Reinforcement Learning Framework for Semantic Parsing of Large-scale 3D Point Clouds. [[code](https://github.com/CKchaos/scn2pointcloud_tool)] [__`seg.`__]
    • [ICCV
    • [ICCV
    • [ICCV
    • [ICCV
    • [NeurIPS
    • [NeurIPS
    • [ICRA
    • [ICRA
    • [ICRA
    • [ICRA
    • [IROS
    • [IROS
    • [IROS
    • [IROS
    • [IROS
    • [3DV
    • [TPAMI - aware Data Consolidation. [__`oth.`__]
    • [TPAMI - aware Data Consolidation. [__`oth.`__]
    • [TPAMI - aware Data Consolidation. [__`oth.`__]
    • [TPAMI - aware Data Consolidation. [__`oth.`__]
    • [TPAMI - aware Data Consolidation. [__`oth.`__]
    • [TPAMI - aware Data Consolidation. [__`oth.`__]
    • [TPAMI - aware Data Consolidation. [__`oth.`__]
    • [TPAMI - aware Data Consolidation. [__`oth.`__]
    • [TPAMI - aware Data Consolidation. [__`oth.`__]
    • [TPAMI - aware Data Consolidation. [__`oth.`__]
    • [TPAMI - aware Data Consolidation. [__`oth.`__]
    • [CVPR
    • [CVPR
    • [CVPR
    • [ICCV - Networks for the Recognition of 3D Point Cloud Models. [[pytorch](https://github.com/fxia22/kdnet.pytorch)] [__`cls.`__ __`rel.`__ __`seg.`__] :star:
    • [ICCV
    • [ICCV
    • [3DV
    • [TPAMI - aware Data Consolidation. [__`oth.`__]
    • [CVPR
    • [ICCV
    • [CVPR
    • [CVPR
    • [ICCV
    • [CVPR - Encoder. [[git](https://github.com/gilbaz/LORAX)] [__`reg.`__]
    • [CVPR - D Reconstructions. [[code](https://github.com/andyzeng/3dmatch-toolbox)] [__`dat.`__ __`pos.`__ __`reg.`__ __`rec.`__ __`oth.`__] :fire: :star:
    • [ICCV - DQN-RNN: A Deep Reinforcement Learning Framework for Semantic Parsing of Large-scale 3D Point Clouds. [[code](https://github.com/CKchaos/scn2pointcloud_tool)] [__`seg.`__]
    • [CVPR - View 3D Object Detection Network for Autonomous Driving. [[tensorflow](https://github.com/bostondiditeam/MV3D)] [__`det.`__ __`aut.`__] :fire: :star:
    • [CVPR - Conditioned Filters in Convolutional Neural Networks on Graphs. [__`cls.`__] :star:
    • [CVPR - annotated 3D Reconstructions of Indoor Scenes. [[project](http://www.scan-net.org/)][[git](http://www.scan-net.org/)] [__`dat.`__ __`cls.`__ __`rel.`__ __`seg.`__ __`oth.`__] :fire: :star:

  • 2018

    • [CVPR
    • [CVPR
    • [CVPR - encoder via Deep Grid Deformation. [[code](http://www.merl.com/research/license#FoldingNet)] [__`cls.`__]
    • [CVPR
    • [CVPR - Net: Point Cloud Upsampling Network. [[tensorflow](https://github.com/yulequan/PU-Net)] [__`rec.`__ __`oth.`__] :fire:
    • [CVPR - Net: Self-Organizing Network for Point Cloud Analysis. [[pytorch](https://github.com/lijx10/SO-Net)] [__`cls.`__ __`seg.`__] :fire: :star:
    • [CVPR
    • [CVPR
    • [CVPR
    • [CVPR - time 3D Object Detection from Point Clouds. [[pytorch](https://github.com/ankita-kalra/PIXOR)] [__`det.`__ __`aut.`__]
    • [CVPR
    • [CVPR - scale Point Cloud Semantic Segmentation with Superpoint Graphs. [[pytorch](https://github.com/loicland/superpoint_graph)] [__`seg.`__] :fire:
    • [CVPR - to-End Learning for Point Cloud Based 3D Object Detection. [[tensorflow](https://github.com/tsinghua-rll/VoxelNet-tensorflow)] [__`det.`__ __`aut.`__] :fire: :star:
    • [CVPR - Scale 3D Point Clouds. [__`oth.`__]
    • [CVPR - Pointnet)] [__`pos.`__]
    • [CVPR - Scale Place Recognition. [[tensorflow](https://github.com/mikacuy/pointnetvlad.git)] [__`rel.`__] :fire:
    • [CVPR
    • [CVPR
    • [CVPR - Agnostic Detection of Quadrics in Point Clouds. [__`seg.`__]
    • [CVPR
    • [CVPR
    • [CVPR
    • [CVPR
    • [CVPR - PointFusion)] [__`det.`__ __`aut.`__]
    • [CVPR - D Data. [[tensorflow](https://github.com/charlesq34/frustum-pointnets)] [__`det.`__ __`aut.`__] :fire: :star:
    • [CVPR
    • [ECCV - Net: an Edge-aware Point set Consolidation Network. [[tensorflow](https://github.com/yulequan/EC-Net)] [__`oth.`__]
    • [ECCV
    • [ECCV - View Descriptors for Registration of Point Clouds. [__`reg.`__]
    • [ECCV - Net: Weakly Supervised Local 3D Features for Point Cloud Registration. [[tensorflow](https://github.com/yewzijian/3DFeatNet)] [__`reg.`__]
    • [ECCV
    • [ECCV
    • [ECCV
    • [ECCV
    • [ECCV - Convolutional Point Networks for Large-Scale Point Clouds. [[tensorflow](https://github.com/drethage/fully-convolutional-point-network)] [__`seg.`__ __`oth.`__]
    • [ECCV - Sensor 3D Object Detection. [__`det.`__]
    • [ECCV
    • [ECCV - to-Point Regression PointNet for 3D Hand Pose Estimation. [__`pos.`__]
    • [ECCV - FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors. [__`oth.`__]
    • [ECCVW - d Tree Guided Hierarchical Learning of Point Clouds Using Local and Global Contextual Cues. [__`cls.`__ __`seg.`__]
    • [ECCVW - to-end real-time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud. [__`det.`__ __`aut.`__]
    • [AAAI
    • [NeurIPS - point-clouds)] [__`pos.`__]
    • [NeurIPS - Transformed Points. [[tensorflow](https://github.com/yangyanli/PointCNN)][[pytorch](https://github.com/hxdengBerkeley/PointCNN.Pytorch)] [__`cls.`__ __`seg.`__] :fire:
    • [ICML
    • [SIGGRAPH - NET: Bidirectional Point Displacement Net for Shape Transform. [[tensorflow](https://github.com/kangxue/P2P-NET)] [__`oth.`__]
    • [SIGGRAPH Asia - Uniformly Sampled Point Clouds. [[tensorflow](https://github.com/viscom-ulm/MCCNN)] [__`cls.`__ __`seg.`__ __`oth.`__]
    • [SIGGRAPH - view convolutional networks. [[project](https://people.cs.umass.edu/~hbhuang/local_mvcnn/index.html)] [__`seg.`__ __`oth.`__]
    • [MM - View for 3D Shape Recognition. [__`cls.`__ __`rel.`__]
    • [MM
    • [MM - based Layered Structure and Block-based Intra Prediction. [__`oth.`__]
    • [ICRA - to-end Learning of Multi-sensor 3D Tracking by Detection. [__`det.`__ __`tra.`__ __`aut.`__]
    • [ICRA - View 3D Entangled Forest for Semantic Segmentation and Mapping. [__`seg.`__ __`oth.`__]
    • [ICRA - Time Road-Object Segmentation from 3D LiDAR Point Cloud. [[tensorflow](https://github.com/priyankanagaraj1494/Squeezseg)] [__`seg.`__ __`aut.`__]
    • [ICRA - Time 3D Person Detection for Indoor and Outdoor Applications. [__`det.`__]
    • [ICRA - Precision Depth Estimation with the 3D LiDAR and Stereo Fusion. [__`dep.`__ __`aut.`__]
    • [ICRA - Point Network for Classification of Deformed Building Element Point Clouds. [__`cls.`__]
    • [ICRA - Guided Geometry Extraction from Point Clouds. [__`oth.`__]
    • [ICRA
    • [ICRA
    • [ICRA
    • [ICRA
    • [ICRA - Based Exploration for Autonomous 3D Modeling. [__`oth.`__ __`aut.`__]
    • [ICRA
    • [ICRA - Net 3.0: Computing Robust Vacuum Suction Grasp Targets in Point Clouds Using a New Analytic Model and Deep Learning. [__`oth.`__]
    • [ICRA - Time Object Tracking in Sparse Point Clouds Based on 3D Interpolation. [__`tra.`__]
    • [ICRA
    • [ICRA - Cue Photometric Point Cloud Registration. [__`reg.`__]
    • [ICRA - Time SLAM for 3D Lidar-Based Online Mapping. [__`oth.`__]
    • [ICRA - LiDAR System. [__`oth.`__]
    • [ICRA
    • [ICRA - Sensor Fusion for 3D Mapping and Localization. [__`oth.`__]
    • [ICRA
    • [IROS
    • [IROS
    • [IROS - Photogrammetry with Random Patterns. [__`rec.`__ __`oth.`__]
    • [IROS
    • [IROS
    • [IROS - Environment 3D LiDAR Localization. [__`oth.`__]
    • [IROS
    • [IROS - LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain.[[code](https://github.com/RobustFieldAutonomyLab/LeGO-LOAM)] [__`pos.`__ __`oth.`__] :fire:
    • [IROS
    • [IROS
    • [IROS
    • [IROS
    • [IROS
    • [IROS - Cost RGB-D Sensor. [[code](https://github.com/CTTCGeoLab/VI_ROS)][__`oth.`__]
    • [IROS - Time Amodal 3D Object Detection. [__`det.`__ __`pos.`__]
    • [IROS
    • [IROS
    • [IROS - Net)]3DmFV: Point Cloud Classification and segmentation for unstructured 3D point clouds. [__`cls.`__ ]
    • [IROS
    • [SENSORS
    • [ACCV - Convolution (Million-Scale Point-Cloud Learning Beyond Grid-Worlds). [[tensorflow](https://github.com/cgtuebingen/Flex-Convolution)] [__`seg.`__]
    • [3DV
    • [ICASSP - CNN for 3D Point Cloud Classification. [[tensorflow](https://github.com/maggie0106/Graph-CNN-in-3D-Point-Cloud-Classification)] [__`cls.`__] :fire:
    • [ITSC
    • [arXiv - like Network Module for 3D Point Cloud Semantic Segmentation. [[tensorflow](https://github.com/MVIG-SJTU/pointSIFT)] [__`seg.`__] :fire:
    • [arXiv
    • [arXiv
    • [arXiv
    • [arXiv - Aware Surface Reconstruction for Point Clouds. [__`rec.`__]
    • [arXiv
    • [arXiv
    • [arXiv - based Object Detector for Point Cloud. [__`det.`__]
    • [arXiv - controllable Point Cloud Simplification on Graph. [__`oth.`__]
    • [arXiv
    • [arXiv - YOLO: Real-time 3D Object Detection on Point Clouds. [[pytorch](https://github.com/AI-liu/Complex-YOLO)] [__`det.`__ __`aut.`__] :fire:
    • [arxiv
    • [arXiv - column Point-CNN for Sketch Segmentation. [__`seg.`__]
    • [arXiv - Attention. [[project](https://liuziwei7.github.io/projects/PointGrow)] [__`oth.`__]
    • [IROS
    • [ICRA - to-end Learning of Multi-sensor 3D Tracking by Detection. [__`det.`__ __`tra.`__ __`aut.`__]
    • [ICRA - View 3D Entangled Forest for Semantic Segmentation and Mapping. [__`seg.`__ __`oth.`__]
    • [ICRA - Time Road-Object Segmentation from 3D LiDAR Point Cloud. [[tensorflow](https://github.com/priyankanagaraj1494/Squeezseg)] [__`seg.`__ __`aut.`__]
    • [ICRA - Time 3D Person Detection for Indoor and Outdoor Applications. [__`det.`__]
    • [ICRA - Precision Depth Estimation with the 3D LiDAR and Stereo Fusion. [__`dep.`__ __`aut.`__]
    • [ICRA - Point Network for Classification of Deformed Building Element Point Clouds. [__`cls.`__]
    • [ICRA - Guided Geometry Extraction from Point Clouds. [__`oth.`__]
    • [ICRA
    • [ICRA
    • [ICRA
    • [ICRA
    • [ICRA - Based Exploration for Autonomous 3D Modeling. [__`oth.`__ __`aut.`__]
    • [ICRA
    • [ICRA - Net 3.0: Computing Robust Vacuum Suction Grasp Targets in Point Clouds Using a New Analytic Model and Deep Learning. [__`oth.`__]
    • [ICRA - Time Object Tracking in Sparse Point Clouds Based on 3D Interpolation. [__`tra.`__]
    • [ICRA
    • [ICRA - Cue Photometric Point Cloud Registration. [__`reg.`__]
    • [ICRA - Time SLAM for 3D Lidar-Based Online Mapping. [__`oth.`__]
    • [ICRA - LiDAR System. [__`oth.`__]
    • [ICRA
    • [ICRA - Sensor Fusion for 3D Mapping and Localization. [__`oth.`__]
    • [ICRA
    • [IROS
    • [IROS
    • [IROS - Photogrammetry with Random Patterns. [__`rec.`__ __`oth.`__]
    • [IROS
    • [IROS
    • [IROS - Environment 3D LiDAR Localization. [__`oth.`__]
    • [IROS
Programming Languages
Python 2 C++ 1
Categories
2018 537 2019 262 2021 109 2017 59 2020 38
Sub Categories
Keywords
semantic-scene-understanding 1 3d-reconstruction 1